Qwen-7B-3_apps_3k_v2 – AI Model by cutelemonlili | AlphaNeural AI

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cutelemonlili/
Qwen-7B-3_apps_3k_v2

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text-generation

generated_from_trainer

Qwen/Qwen2.5-7B

autotrain_compatible

text-generation-inference

endpoints_compatible

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3_apps_3k_v2

This model is a fine-tuned version of Qwen/Qwen2.5-7B on the 3_apps_3k_v2 dataset. It achieves the following results on the evaluation set:

Loss: 0.2330

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 4
total_eval_batch_size: 4
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.2471	0.1366	100	0.2904
0.2031	0.2732	200	0.2775
0.2786	0.4098	300	0.2579
0.2296	0.5464	400	0.2523
0.2397	0.6831	500	0.2470
0.1902	0.8197	600	0.2333
0.2452	0.9563	700	0.2330

Framework versions

Transformers 4.46.1
Pytorch 2.4.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3